What is the significance of move 37? (to a non go player)
Feb 26, 2023 · 1 I have seen (and googled) information for Game 2, Move 37 in the AlphaGo vs. Lee Sedol match However it is difficult to find information concerning this move that doesn't rely on an …
deep learning - What is the input to AlphaGo's neural network ...
Jun 8, 2020 · AlphaGo Zero only uses the black and white stones from the Go board as its input, whereas previous versions of AlphaGo included a small number of hand-engineered features. What …
Did Alphago zero actually beat Alphago 100 games to 0?
Oct 21, 2020 · Background: Alphago was the first superhuman go player, but it had human tuning and training. AlphaGo zero learned to be more superhuman than superhuman. Its supremacy was shown …
What kind of policy evaluation and policy improvement AlphaGo, …
Jul 17, 2020 · I'm trying to find out what kind of policy improvement and policy evaluation AlphaGo, AlphaGo Zero, and AlphaZero are using. By looking into their respective paper and SI, I can …
Why AlphaGo didn't use Deep Q-Learning?
Apr 29, 2020 · In the previous research, in 2015, Deep Q-Learning shows its great performance on single player Atari Games. But why do AlphaGo's researchers use CNN + MCTS instead of Deep Q …
Newest 'alphago' Questions - Artificial Intelligence Stack Exchange
For questions related to DeepMind's AlphaGo, which is the first computer Go program to beat a human professional Go player without handicaps on a full-sized 19x19 board. AlphaGo was introduced in …
Difference between AlphaGo's policy network and value network
Mar 29, 2016 · If anyone else stumbles upon this old question, like me, you'll be pleased to know that AlphaGo's successor, "AlphaGo Zero", as well as its successor "AlphaZero" do indeed get rid of the …
What is the search depth of AlphaGo and AlphaGo Zero?
Sep 19, 2020 · I read their papers and they use value function (NN) and policy function to trim the tree, so more layers can be searched while spending less time searching less different positions. My …
deepmind - Why did AlphaGo lose its Go game? - Artificial Intelligence ...
We can read on wiki page that in March 2016 AlphaGo AI lost its game (1 of 5) to Lee Sedol, a professional Go player. One article cite says: AlphaGo lost a game and we as researchers want to …
Why is Monte Carlo used as the tree search algorithm for AlphaGo?
Apr 9, 2019 · The paper that introduced AlphaGo, Mastering the game of Go with deep neural networks and tree search, motivates the use of MCTS Monte Carlo tree search (MCTS) uses Monte Carlo …